SOTAVerified

Autonomous Driving

Autonomous driving is the task of driving a vehicle without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

(Image credit: Exploring the Limitations of Behavior Cloning for Autonomous Driving)

Papers

Showing 51265150 of 6092 papers

TitleStatusHype
Polylidar3D -- Fast Polygon Extraction from 3D DataCode1
Scaling Polyhedral Neural Network Verification on GPUs0
Pillar-based Object Detection for Autonomous DrivingCode1
Understanding and Mitigating the Limitations of Prioritized Experience ReplayCode0
DVI: Depth Guided Video Inpainting for Autonomous DrivingCode1
PerMO: Perceiving More at Once from a Single Image for Autonomous Driving0
openDD: A Large-Scale Roundabout Drone DatasetCode1
Decision-making Strategy on Highway for Autonomous Vehicles using Deep Reinforcement Learning0
Accelerating Robustness Verification of Deep Neural Networks Guided by Target Labels0
InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling0
CenterNet3D: An Anchor Free Object Detector for Point CloudCode1
Probabilistic Jacobian-based Saliency Maps AttacksCode1
SkyScapes -- Fine-Grained Semantic Understanding of Aerial Scenes0
A Quick Review on Recent Trends in 3D Point Cloud Data Compression Techniques and the Challenges of Direct Processing in 3D Compressed Domain0
Deformable spatial propagation network for depth completion0
KIT MOMA: A Mobile Machines Dataset0
Synthetic-to-Real Domain Adaptation for Lane Detection0
PathGAN: Local Path Planning with Attentive Generative Adversarial NetworksCode0
Enable an Open Software Defined Mobility Ecosystem through VEC-OF0
Single Shot MC Dropout ApproximationCode1
Wasserstein Distances for Stereo Disparity EstimationCode1
Model-based Exploration of the Frontier of Behaviours for Deep Learning System TestingCode1
Traffic Agent Trajectory Prediction Using Social Convolution and Attention Mechanism0
Deep Neural Networks with Koopman Operators for Modeling and Control of Autonomous Vehicles0
DepthNet: Real-Time LiDAR Point Cloud Depth Completion for Autonomous VehiclesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95Unverified
2InterFuserDriving Score76.18Unverified
3TCPDriving Score75.14Unverified
4TF++ WPDriving Score66.32Unverified
5Learning From All Vehicles (LAV)Driving Score61.85Unverified
6TransFuserDriving Score61.18Unverified
7TransFuser (Reproduced)Driving Score55.04Unverified
8TCP (Reproduced)Driving Score47.91Unverified
9Latent TransFuserDriving Score45.2Unverified
10GRIADDriving Score36.79Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17Unverified
2TransFuserRC56.36Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91Unverified
2TransFuserRC78.41Unverified